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From |
Richard Williams <richardwilliams.ndu@gmail.com> |

To |
statalist@hsphsun2.harvard.edu, statalist@hsphsun2.harvard.edu |

Subject |
Re: st: testing nested logistic model using mi estimate: prefix command |

Date |
Wed, 02 Nov 2011 00:44:54 -0500 |

At 11:11 PM 11/1/2011, Alan Acock wrote:

I have imputed 10 complete datasets using mi. I run mi estimate:logistic pair male time_m bmi on a model. I run a second model usingmi estimate: logistic pair male time_m bmi compete efficacy.I want to test if the second model does better than the first. Sincethere is no log likelihood reported I don't know how to calculate alikelihood ratio chi-square test.How can I compare these models if the log likelihood was notavailable with the mi estimate command prefix. I could use thelrtest or calculate it by hand using listwise/casewise deletion.

Can't you just use -mi test-, e.g. mi test compete efficacy ------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Difference Model***From:*vikramfinavker <vikramfinavker@gmail.com>

**st: RE: Difference Model***From:*Nick Cox <n.j.cox@durham.ac.uk>

**st: RE: RE: Difference Model***From:*Nick Cox <n.j.cox@durham.ac.uk>

**st: testing nested logistic model using mi estimate: prefix command***From:*Alan Acock <acock@mac.com>

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